Volume 18, Number 1, 2022
Contents

Special Issue on Numerical Optimization in Data Science

 Continued (Number 2)  
Preface: Zheng-Hai Huang, Lingchen Kong and Yiju Wang

Shujun Bi, Ting Tao and Shaohua Pan
KL property of exponent 1/2 of ℓ2,0-norm and DC regularized factorizations for low-rank matrix recovery

Shih Yu Chang, Yimin Wei
Sherman-Morrison-Woodbury identity for tensors

Yannan Chen, Liqun Qi and Xinzhen Zhang
Color image completion using a low-rank quaternion matrix approximation

 
Lu-Bin Cui and Qing Hu
A chord-Zhang neural network model for solving absolute value equations

Ming-Yu Deng, Weiyang Ding and Xue-Ping Guo
Modified splitting methods for solving non-homogenous multi-linear equations with M-tensors


Wenxin Du and Shenglong Hu
A convergence analysis for an algorithm computing a symmetric low rank orthogonal approximation of a symmetric tensor

Changjie Fan, Ruirui Zhang and Shenglan Chen
An inertial Tseng's extragradient method for solving multi-valued variational inequalities with one projection

Renxiu Feng, Peiwei Zhong and Yitian Xu
A subspace elimination strategy for accelerating support matrix machine

Bingdi Huang and Peiping Shen
Global optimization algorithm for solving sum of linear ratios problemss

Hongwei Jiao, Junqiao Ma and Youlin Shang
Image space branch-and-bound algorithm for globally solving minimax linear fractional programming problem

Lijiao Kong, Ailing Yan, Yan Li and Jun Fan
L1/2-Regularized least absolute deviation method for sparse phase retrieva

 
Mengzhen Li, Haibin Chen and Guanglu Zhou
Fourth-order partially symmetric tensors: theory and algorithm

 Continued (Number 2
 
   
   
   
   
   
   

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